scholarly journals Matching-adjusted indirect comparison of benralizumab versus interleukin-5 inhibitors for the treatment of severe asthma: a systematic review

2018 ◽  
Vol 52 (5) ◽  
pp. 1801393 ◽  
Author(s):  
Arnaud Bourdin ◽  
Don Husereau ◽  
Nicolas Molinari ◽  
Sarowar Golam ◽  
Mohd Kashif Siddiqui ◽  
...  

Benralizumab is an interleukin-5 receptor α-directed cytolytic monoclonal antibody that directly depletes eosinophils. Its relative efficacy versus other IL-5-targeted treatments for patients with severe, uncontrolled asthma is not yet fully characterised.We performed a matching-adjusted indirect comparison (MAIC) of benralizumab versus mepolizumab and reslizumab. Trials were selected through systematic review and evaluation of trial methods. Benralizumab patient-level data were weighted to match treatment-effect-modifying patient characteristics of comparator trials before indirect efficacy comparisons.After matching adjustment, benralizumab and mepolizumab reduced exacerbations versus placebo by 52% and 49%, respectively (rate ratio [RR] 0.94, 95% CI 0.78–1.13; n=1524) and reduced the rate of exacerbations requiring hospitalisation/emergency department visit by 52% and 52%, respectively (RR 1.00, 95% CI 0.57–1.75; n=1524). Benralizumab and mepolizumab similarly improved pre-bronchodilator forced expiratory volume in 1 s at 32 weeks (difference 0.03 L, 95% CI −0.06–0.12; n=1443). Benralizumab and reslizumab patient populations were too dissimilar to generate a sufficient effective sample size to produce a reliable estimate for MAIC.MAIC is a robust way to indirectly compare treatment efficacies from trials with heterogeneous patient populations. When baseline patient characteristics were matched across asthma trials, benralizumab and mepolizumab yielded similar efficacy.

2019 ◽  
Vol 35 (S1) ◽  
pp. 94-95
Author(s):  
Jonathan Alsop ◽  
Lawrence Pont ◽  
Martin Scott

IntroductionMatching adjusted indirect comparison (MAIC) methods are extremely useful when conducting ITCs, as they reduce baseline imbalances between studies, particularly upon patient characteristics that are confounded with treatment. The standard approach when conducting MAIC is that proposed by Signorovitch et al. (2010). However, there are newer, and potentially better, methods available.MethodsThree different MAIC methods (Signorovitch, Entropy Balancing, Polynomial Weighting) were compared using multiple phase 3 RCTs conducted in Diabetic Retinal Edema. The matching ability of each method was assessed, alongside its ability to avoid large weights (i.e. avoiding high leverage), and maximise effective same size (ESS). Each method's overall ease of use and impact upon estimates of treatment effectiveness were also evaluated.ResultsAll methods were able to precisely match the aggregate level data. However, the Entropy Balancing and Polynomial Weighting both outperformed the Signorovitch method in terms of having the lowest maximum weights. The Polynomial Weighting provided the highest ESS. The Entropy Balancing method was arguably the most challenging to implement, whilst the Signorovitch method the least. The Polynomial Weighting method appears to provide the greatest flexibility to the user.ConclusionsWhilst the Signorovitch method has become almost synonymous with MAIC, the Entropy Balancing and Polynomial Weighting methods offer potentially superior performance. In the absence of head-to-head trial data, these new MAIC approaches should provide less biased and more precise estimates of comparative effectiveness – ultimately leading to better decision making by regulators and payers.


Immunotherapy ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 143-154
Author(s):  
Philippe Moreau ◽  
Benjamin Hebraud ◽  
Thierry Facon ◽  
Xavier Leleu ◽  
Cyrille Hulin ◽  
...  

Aim: To compare daratumumab plus standard-of-care (SoC; bortezomib/thalidomide/dexamethasone [VTd]) and VTd alone with other SoC for transplant-eligible newly diagnosed multiple myeloma. Patients & methods: We conducted an unanchored matching-adjusted indirect comparison of progression-free and overall survival (PFS/OS) with D-VTd/VTd versus bortezomib/lenalidomide/dexamethasone (VRd), bortezomib/cyclophosphamide/dexamethasone (VCd) and bortezomib/dexamethasone (Vd). Results: After matching adjustment, significant improvements in PFS were estimated for D-VTd versus VRd (hazard ratio [HR]: 0.47 [95% CI: 0.33–0.69]), VCd (HR: 0.35 [95% CI: 0.21–0.58]) and Vd (HR: 0.42 [95% CI: 0.28–0.63]). OS was significantly longer with D-VTd versus VRd (HR: 0.31 [95% CI: 0.16–0.57]), VCd (HR: 0.35 [95% CI: 0.14–0.86]) and Vd (HR: 0.38 [95% CI: 0.18–0.77]). No significant PFS/OS differences were seen for VTd versus other SoC. Conclusion: This analysis supports front-line daratumumab for transplant-eligible newly diagnosed multiple myeloma.


2021 ◽  
Vol 271 ◽  
pp. 03035
Author(s):  
Xiaoying Zhu

Spinal Muscular Atrophy (SMA) is a genetic neuromuscular disease that commonly affects children, and usually worsens with age that often leads to permanent disability and death for many of the SMA patients. Recently, two drugs are developed to improving the quality of life of SMA sufferers: Evrysdi and Nusinersen. This study is identified by a systematic literature review to compare two treatments. The comparison attempts to focus on mechanism, administration and clinical trials. The trials include the ENDEAR study for Nusinersen, and the FIREFISH study for Evrysdi. Due to the different baselines of two trials, matching-adjusted indirect comparison (MAIC) is used to “weighted” baseline characteristics to match each other across all the studies. Each of the trials highlighted the effectiveness for comparison. Both Nusinersen and Evrysdi have had a major and positive impact on improving the quality of life of SMA, and both therapies have been shown to be highly effective. Moreover, the indirect comparison with Matching Adjustment Indirect Comparison shows that Risdiplam is more effective as compared to Nusinersen. Nonetheless, the comparison is still inaccurate due to lack of real-world evidence from patients.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 5946-5946
Author(s):  
Kejal Parikh ◽  
Irina Proskorovsky ◽  
Safiya Abouzaid ◽  
Stanimira Krotneva ◽  
Veronique Page ◽  
...  

Abstract INTRODUCTION: Several new agents and regimens are available for the treatment of relapsed refractory multiple myeloma (RRMM). Comparison of all these is not feasible, yet therapeutic selections need to be made for optimal patient care. Both the MM-002 (Richardson et al., 2014) and MM-003 (San Miguel et al., 2013) trials have demonstrated the clinical benefits of pomalidomide plus low-dose dexamethasone (POM+LoDEX) in improving survival outcomes for patients with RRMM who had received ≥2 prior lines of therapy. Daratumumab (DARA) monotherapy was approved in the US for the treatment of RRMM patients, based on the results of a single-arm trial (SIRIUS) (Lonial et al., 2016). To date, there are no head-to-head studies comparing POM+LoDEX with DARA. We performed an indirect comparison of the overall response rate (ORR), progression-free survival (PFS), and overall survival (OS) between POM+LoDEX and DARA in RRMM patients with ≥2 (median of 5) prior lines of therapy. METHODS: Matching-adjusted indirect comparison (MAIC) (Ishak et al., 2015; Signorovitch et al., 2012) is a method used to conduct indirect comparisons between relative efficacies of treatments after adjusting for imbalances across trials where the study populations were roughly similar. To perform a MAIC, it is necessary that the selected studies are compatible. Both MM-002 and SIRIUS were phase II trials and included mainly patients from North America, while other geographic regions were more widely represented in the phase III MM-003 trial. Thus, the MAIC was conducted using individual patient data from the intention-to-treat (ITT) population of POM+LoDEX from MM-002 and published aggregate data on patient characteristics and outcomes for the ITT population of DARA from SIRIUS. A propensity-score logistic regression equation was used to re-weight the POM+LoDEX patients such that their aggregate characteristics matched exactly those in SIRIUS for all prognostic factors (i.e., full set) which were available in both studies. These factors included age, gender, race, disease duration, immunoglobulin heavy chain type, Eastern Cooperative Oncology Group (ECOG) performance status, plasmacytoma, creatinine clearance, number of prior therapy lines, prior stem cell transplantation, and refractoriness to bortezomib, lenalidomide, or both. The relative treatment effects were estimated with a weighted logistic regression model for ORR and weighted Cox regression models for PFS and OS. Sensitivity analyses were also conducted by matching on only important prognostic factors (i.e., reduced set), identified from multivariate regression analyses for each endpoint. RESULTS: MM-002 and SIRIUS were generally similar in design and had sufficient overlap in baseline characteristics to allow adjustment for potential confounding. Most prognostic factors were similar between the two arms. However, patients on POM+LoDEX had worse ECOG status, while more patients on DARA had a plasmacytoma and creatinine clearance <60 mL/min and were refractory to lenalidomide, bortezomib, or both. After re-weighting, the aggregate patient characteristics for patients receiving POM+LoDEX matched those reported for DARA. The results from the analyses adjusting for all available characteristics showed no statistically significant differences in ORR, PFS, or OS between the two treatments. Similar findings were obtained by adjusting for important prognostic factors only (Table 1). OS results should be interpreted with caution as subsequent treatments cannot be adjusted for in a MAIC analysis. CONCLUSIONS: This analysis suggests that POM+LoDEX and DARA have similar clinical benefits with respect to ORR, PFS, and OS in RRMM patients with ≥2 prior lines of therapy. Treatment choice may be made between these two based on factors other than efficacy alone. MAIC analysis may be helpful in therapeutic decisions where direct comparative trials are not available, however as with any non-randomized study potential for residual confounding may still exist. Disclosures Parikh: Celgene Corporation: Employment, Equity Ownership, Research Funding. Proskorovsky:Evidera: Employment, Other: As a salaried Evidera employee, I am not allowed to accept any remuneration or honoraria. Evidera received funding from Celgene.. Abouzaid:Celgene Corporation: Employment, Equity Ownership, Research Funding. Krotneva:Evidera: Employment, Other: As a salaried Evidera employee, I am not allowed to accept any remuneration or honoraria. Evidera received funding from Celgene.. Page:Evidera: Other: As a salaried Evidera employee, I am not allowed to accept any remuneration or honoraria. Evidera received funding from Celgene.. Pelligra:Evidera: Employment, Other: As a salaried Evidera employee, I am not allowed to accept any remuneration or honoraria. Evidera received funding from Celgene.. Guo:Celgene: Consultancy. Mouro:Celgene: Employment, Equity Ownership. Ailawadhi:Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy.


2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 491-491
Author(s):  
Steven A. Sherman ◽  
Xufang Wang ◽  
Billy Amzal ◽  
Roman Casciano ◽  
Haitao Gao ◽  
...  

491 Background: Both EVE and AXI have been approved for second-line treatment of mRCC after VEGFR-TKI therapy failure. No head-to-head clinical trial has compared clinical outcomes between EVE and AXI in this setting. This study aims to compare progression free survival (PFS) from two phase III clinical trials among mRCC patients with SUN as their only prior antineoplastic therapy and subsequently treated with EVE in the RECORD-1 trial vs. AXI in the AXIS trial, after adjusting for cross-trial differences. Methods: A weighted-adjusted indirect comparison using patient-level data from RECORD-1 and summary data from the AXIS trial publication was performed to align baseline characteristics from both trials and compare PFS (central review). A subset of N=43 second-line SUN -refractory mRCC patients treated with EVE were identified in RECORD-1 to correspond to a similar subset of patients (N=194) treated with AXI in AXIS. Logistic regression was used to identify factors predicting PFS in RECORD-1. The RECORD-1 subset was weighted to align the distributions of these key factors (i.e., MSKCC risk, gender, and time on prior SUN) with the AXIS subset. Weights were calculated for each patient using the following equation: Wi = [Pi (AAXIS)/Pi (ARECORD-1)] * [Pi (BAXIS)/Pi (BRECORD-1)] * [Pi (CAXIS)/Pi (CRECORD-1)], where A=Gender, B=MSKCC risk, and C=time on prior SUN. A weighted median PFS estimate with 95% bootstrap confidence interval (CI) and corresponding Kaplan-Meier (KM) curve were derived for EVE patients. Results: After weighting, the three key baseline characteristics were mostly comparable between the two studies, with the exception of MSKCC where a higher proportion of poor risk patients was evident in RECORD-1 (42%) vs. AXIS (33%). A median PFS of 5.1 months (95% CI: 3.6-10.7) was observed for weighted EVE patients compared to 4.8 months (95% CI: 4.5-6.4) reported in AXIS. Conclusions: The PFS estimates suggest similar efficacy between EVE and AXI in SUN-refractory mRCC patients. Further research is needed to confirm these results, which should be interpreted as those from an observational study.


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